/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * License); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */

/*
 * Copyright (c) 2017, Open AI Lab
 * Author: haitao@openailab.com
 */
#include "operator/concat.hpp"
#include "static_graph.hpp"


namespace TEngine {

bool Concat::InferShape(const std::vector<TEngine::TShape>&ishape, std::vector<TEngine::TShape>& oshape)
{
     int axis=param_.axis;

     TShape shape=ishape[0];
     int  concat_shape=0;
     std::vector<int> dim;

     for(unsigned int i=0;i<ishape.size();i++)
     {
         dim=ishape[i].GetDim();

         concat_shape+=dim[axis];

     }

     dim[axis]=concat_shape;

     shape.SetDim(dim);

     oshape[0]=shape;

     return true;
      
}

void Concat::SetSchema(void)
{
  Input({"input:float32"})
  .Output({"output:float32"})
  .SetAttr("axis",1)
  .SetLayout("NCHW")
  .SetDoc(R"DOC(Concat Operator)DOC");
}


} //namespace TEngine
